Handbook home
Applied Analytics Lab (BUSA90522)
Graduate courseworkPoints: 25Dual-Delivery (Parkville) and On Campus (Parkville)
Please refer to the return to campus page for more information on these delivery modes and students who can enrol in each mode based on their location.
About this subject
- Overview
- Eligibility and requirements
- Assessment
- Dates and times
- Further information
- Timetable(opens in new window)
Contact information
Overview
Availability | January - On Campus April - Dual-Delivery July - On Campus September - On Campus |
---|---|
Fees | Look up fees |
This subject involves completion of a 10-week project using real data from an industry setting. The subject integrates academic learning, practical challenges in implementing data analytics in an organisation, employability skills and attributes and an improved knowledge of how analytics can be implemented within organisations. The assessment week of the subject will involve the completion of the report for the subject and a project presentation. This is an individual project. Students interested in a research higher degree may, with permission, undertake an individual research project.
Intended learning outcomes
On completion of this subject, students should be able to:
- Clearly articulate the business problem to be solved and the data & tools required to solve the problem.
- Identify and articulate their analytics knowledge and skills and apply them to relevant organisational contexts and work-settings; as well as linking them to specific professions and career pathways.
- Produce original work in an appropriate format which demonstrates analytical, research and problem-solving skills;
- Put into practice communication, interpersonal, organisational and time management skills in a workplace context;
- Present their work professionally in a way that makes the connections between the results of their analysis and business issues for an organisation.
Generic skills
- • High level of development: problem solving; statistical reasoning; application of theory to practice; interpretation and analysis; synthesis of data and other information; evaluation of data and other information; use of computer software; accessing data and other information from a range of sources. • High level of development: written communication; critical thinking; receptiveness to alternative ideas. • High level of development: collaborative learning; team work
Last updated: 31 January 2024
Eligibility and requirements
Prerequisites
Admission into the MC-ANAMGT Master of Analytics Management
AND
a minimum of 125 credit points of study in the course
Corequisites
None
Non-allowed subjects
Code | Name | Teaching period | Credit Points |
---|---|---|---|
BUSA90504 | Individual Research Project | August (Online) |
25 |
Inherent requirements (core participation requirements)
Melbourne Business School welcomes applications from eligible students for a variety of graduate degrees offered by its programme portfolio. These degrees require following attributes for academic study:
• The ability to explain and evaluate concepts, theories, and business operations of organisations
• Ability to use analytic techniques to solve business problems
Melbourne Business School welcomes applications from students with disabilities and takes reasonable steps to implement adjustments to provide equal participation opportunities for students with disability.
Last updated: 31 January 2024
Assessment
Description | Timing | Percentage |
---|---|---|
Project proposal
| Week 2 | 20% |
Project report and presentation (report is 5,000 word and presentation is 30 minutes which in total are equivalent of 8000 word assessment)
| Week 10 | 80% |
Last updated: 31 January 2024
Dates & times
- January - On Campus
Mode of delivery On Campus (Parkville) Contact hours Total time commitment 340 hours Pre teaching start date 11 January 2021 Pre teaching requirements Students are required to complete approximately 15 hours of readings to prepare for the subject. Teaching period 18 January 2021 to 26 March 2021 Last self-enrol date 12 January 2021 Census date 29 January 2021 Last date to withdraw without fail 5 March 2021 Assessment period ends 2 April 2021 - April - Dual-Delivery
Mode of delivery Dual-Delivery (Parkville) Contact hours Total time commitment 340 hours Pre teaching start date 5 April 2021 Pre teaching requirements Students are required to complete approximately 15 hours of readings to prepare for the subject during pre-teaching period Teaching period 12 April 2021 to 18 June 2021 Last self-enrol date 30 March 2021 Census date 23 April 2021 Last date to withdraw without fail 28 May 2021 Assessment period ends 25 June 2021 - July - On Campus
Mode of delivery On Campus (Parkville) Contact hours Total time commitment 340 hours Pre teaching start date 19 July 2021 Pre teaching requirements Students are required to complete approximately 15 hours of reading to prepare for the subject during the pre-teaching period. Teaching period 26 July 2021 to 10 September 2021 Last self-enrol date 20 July 2021 Census date 30 July 2021 Last date to withdraw without fail 20 August 2021 Assessment period ends 10 September 2021 - September - On Campus
Mode of delivery On Campus (Parkville) Contact hours Total time commitment 340 hours Pre teaching start date 20 September 2021 Pre teaching requirements Students are required to complete approximately 15 hours of readings to prepare for the subject during the pre-teaching period. Teaching period 27 September 2021 to 3 December 2021 Last self-enrol date 21 September 2021 Census date 8 October 2021 Last date to withdraw without fail 5 November 2021 Assessment period ends 3 December 2021
Last updated: 31 January 2024
Further information
- Texts
Prescribed texts
There are no specifically prescribed or recommended texts for this subject.
Last updated: 31 January 2024